PuchAI MCP Server is a Model Context Protocol server implementation that allows for seamless communication with AI models. This server follows the MCP standard and can be quickly deployed or run locally depending on your requirements.
You can deploy the MCP server with a single click using Render's deployment service:
Before installing the MCP server locally, ensure you have Python installed on your system.
python -m venv venv
For Windows:
venv\Scripts\activate
For macOS/Linux:
source venv/bin/activate
pip install -r requirements.txt
Once installation is complete, start the server with:
python run_server.py
By default, the server runs on port 8085, but this can be configured through environment variables.
The MCP server comes with the following default configuration:
You can customize the port by setting the PORT
environment variable before starting the server:
# Linux/macOS
export PORT=9000
python run_server.py
# Windows (Command Prompt)
set PORT=9000
python run_server.py
# Windows (PowerShell)
$env:PORT=9000
python run_server.py
To connect to the running MCP server, use the token provided in the configuration section. Client applications should include this token in their authentication headers when making requests to the server.
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "puchai-resume-portfolio" '{"command":"python","args":["run_server.py"],"env":{"PORT":"8085","TOKEN":"85b4b747f1cc"}}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"puchai-resume-portfolio": {
"command": "python",
"args": [
"run_server.py"
],
"env": {
"PORT": "8085",
"TOKEN": "85b4b747f1cc"
}
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"puchai-resume-portfolio": {
"command": "python",
"args": [
"run_server.py"
],
"env": {
"PORT": "8085",
"TOKEN": "85b4b747f1cc"
}
}
}
}
3. Restart Claude Desktop for the changes to take effect